Guest Editors
Prof. Shuping Wan, Jiangxi University of Finance and Economics, China
Prof. Luis Martínez, University of Jaén, Spain
Prof. Jun Ye, Ningbo University, China
Summary
Due to the complexity of objective things and ambiguity of human thinking, decision making modeling and methods in various fuzzy environments have received extensive attention and have been widely applied to diverse engineering and scientific fields. Since Prof. L. Zadeh initiated the concept of fuzzy set, the fuzzy set theory has been widely used in many real-world decision making problems. Because the fuzzy set only uses single membership degree, it has some limitations on expressing uncertainty. To overcome these limitations, diverse new fuzzy concepts emerge. Up to now, various advanced fuzzy theories have made new progress and achievements in decision making, artificial intelligence, image processing, medical diagnosis, fault diagnosis, optimization design/programming, clustering analysis, big and small data mining, engineering modeling and analysis, etc.
This special issue is devoted to the decision making modeling, methods and applications of advanced fuzzy theory to solve decision making problems in engineering and other scientific fields. Articles submitted to this special issue can also be concerned with various advanced fuzzy theories, modeling, and applications in decision making, management, artificial intelligence, environmental protection, big and small data mining, pattern recognition, information processing, medical diagnosis, faulty diagnosis, image processing, education, economics, finance and many other practical modeling and analysis, etc. We invite researchers to contribute original research articles and review articles, which will stimulate continuous research on decision making modeling, methods and applications of various fuzzy theories to evaluate/solve decision making problems engineering and scientific fields. The original studies that propose novel decision making modeling and methods of advanced fuzzy theory are especially welcome.
Keywords
Advanced fuzzy theory; decision making modeling and method; engineering and scientific applications
Published Papers
-
Open Access
ARTICLE
-
Open Access
ARTICLE
A New Kind of Generalized Pythagorean Fuzzy Soft Set and Its Application in Decision-Making
Xiaoyan Wang, Ahmed Mostafa Khalil
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.3, pp. 2861-2871, 2023, DOI:10.32604/cmes.2023.026021
（This article belongs to this Special Issue:
Decision making Modeling, Methods and Applications of Advanced Fuzzy Theory in Engineering and Science)
Abstract The aim of this paper is to introduce the concept of a generalized Pythagorean fuzzy soft set (GPFSS), which is a combination of the generalized fuzzy soft sets and Pythagorean fuzzy sets. Several of important operations of GPFSS including complement, restricted union, and extended intersection are discussed. The basic properties of GPFSS are presented. Further, an algorithm of GPFSSs is given to solve the fuzzy soft decision-making. Finally, a comparative analysis between the GPFSS approach and some existing approaches is provided to show their reliability over them.
More >
-
Open Access
ARTICLE
Behavioral Decision-Making of Key Stakeholders in Public-Private Partnerships: A Hybrid Method and Benefit Distribution Study
Guoshuai Sun, Wanyi Zhang, Jiuying Dong, Shuping Wan, Jiao Feng
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.3, pp. 2895-2934, 2023, DOI:10.32604/cmes.2023.025652
（This article belongs to this Special Issue:
Decision making Modeling, Methods and Applications of Advanced Fuzzy Theory in Engineering and Science)
Abstract Public-private partnerships (PPPs) have been used by governments around the world to procure and construct infrastructural amenities. It relies on private sector expertise and funding to achieve this lofty objective. However, given the uncertainties of project management, transparency, accountability, and expropriation, this phenomenon has gained tremendous attention in recent years due to the important role it plays in curbing infrastructural deficits globally. Interestingly, the reasonable benefit distribution scheme in a PPP project is related to the behavior decision-making of the government and social capital, as well as the performance of the project. In this paper, the government and social capital…
More >
-
Open Access
ARTICLE
Floyd-Warshall Algorithm Based on Picture Fuzzy Information
Shaista Habib, Aqsa Majeed, Muhammad Akram, Mohammed M. Ali Al-Shamiri
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.3, pp. 2873-2894, 2023, DOI:10.32604/cmes.2023.026294
（This article belongs to this Special Issue:
Decision making Modeling, Methods and Applications of Advanced Fuzzy Theory in Engineering and Science)
Abstract The Floyd-Warshall algorithm is frequently used to determine the shortest path between any pair of nodes. It
works well for crisp weights, but the problem arises when weights are vague and uncertain. Let us take an example
of computer networks, where the chosen path might no longer be appropriate due to rapid changes in network
conditions. The optimal path from among all possible courses is chosen in computer networks based on a variety
of parameters. In this paper, we design a new variant of the Floyd-Warshall algorithm that identifies an All-Pair
Shortest Path (APSP) in an uncertain situation of a…
More >
Graphic Abstract
-
Open Access
ARTICLE
Novel Decision Making Methodology under Pythagorean Probabilistic Hesitant Fuzzy Einstein Aggregation Information
Shahzaib Ashraf, Bushra Batool, Muhammad Naeem
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1785-1811, 2023, DOI:10.32604/cmes.2023.024851
（This article belongs to this Special Issue:
Decision making Modeling, Methods and Applications of Advanced Fuzzy Theory in Engineering and Science)
Abstract This research proposes multicriteria decision-making (MCDM)-based real-time Mesenchymal stem cells (MSC)
transfusion framework. The testing phase of the methodology denotes the ability to stick to plastic surfaces, the
upregulation and downregulation of certain surface protein markers, and lastly, the ability to differentiate into
various cell types. First, two scenarios of an enhanced dataset based on a medical perspective were created in the
development phase to produce varying levels of emergency. Second, for real-time monitoring of COVID-19 patients
with different emergency levels (i.e., mild, moderate, severe, and critical), an automated triage algorithm based on a
formal medical guideline is proposed, taking…
More >
-
Open Access
ARTICLE
Emerging Trends in Social Networking Systems and Generation Gap with Neutrosophic Crisp Soft Mapping
Muhammad Riaz, Masooma Raza Hashmi, Faruk Karaaslan, Aslıhan Sezgin, Mohammed M. Ali Al Shamiri, Mohammed M. Khalaf
CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.2, pp. 1759-1783, 2023, DOI:10.32604/cmes.2023.023327
（This article belongs to this Special Issue:
Decision making Modeling, Methods and Applications of Advanced Fuzzy Theory in Engineering and Science)
Abstract This paper aims to introduce the novel concept of neutrosophic crisp soft set (NCSS), including various types of neutrosophic crisp soft sets (NCSSs) and their fundamental operations. We define NCS-mapping and its inverse NCS-mapping between two NCS-classes. We develop a robust mathematical modeling with the help of NCS-mapping to analyze the emerging trends in social networking systems (SNSs) for our various generations. We investigate the advantages, disadvantages, and natural aspects of SNSs for five generations. With the changing of the generations, it is analyzed that emerging trends and the benefits of SNSs are increasing day by day. The suggested modeling…
More >
Graphic Abstract
-
Open Access
ARTICLE
Comparative Analysis of Pythagorean MCDM Methods for the Risk Assessment of Childhood Cancer
Shaista Habib, Muhammad Akram, M. M. Ali Al-Shamiri
CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.3, pp. 2585-2615, 2023, DOI:10.32604/cmes.2023.024551
（This article belongs to this Special Issue:
Decision making Modeling, Methods and Applications of Advanced Fuzzy Theory in Engineering and Science)
Abstract According to the World Health Organization (WHO), cancer is the leading cause of death for children in low and middle-income countries. Around 400,000 kids get diagnosed with this illness each year, and their survival rate depends on the country in which they live. In this article, we present a Pythagorean fuzzy model that may help doctors identify the most likely type of cancer in children at an early stage by taking into account the symptoms of different types of cancer. The Pythagorean fuzzy decision-making techniques that we utilize are Pythagorean Fuzzy TOPSIS, Pythagorean Fuzzy Entropy (PF-Entropy), and Pythagorean Fuzzy Power…
More >
Graphic Abstract
-
Open Access
ARTICLE
Einstein Weighted Geometric Operator for Pythagorean Fuzzy Hypersoft with Its Application in Material Selection
Rana Muhammad Zulqarnain, Imran Siddique, Rifaqat Ali, Fahd Jarad, Aiyared Iampan
CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.3, pp. 2557-2583, 2023, DOI:10.32604/cmes.2023.023040
（This article belongs to this Special Issue:
Decision making Modeling, Methods and Applications of Advanced Fuzzy Theory in Engineering and Science)
Abstract Hypersoft set theory is a most advanced form of soft set theory and an innovative mathematical tool for dealing with unclear complications. Pythagorean fuzzy hypersoft set (PFHSS) is the most influential and capable leeway of the hypersoft set (HSS) and Pythagorean fuzzy soft set (PFSS). It is also a general form of the intuitionistic fuzzy hypersoft set (IFHSS), which provides a better and more perfect assessment of the decision-making (DM) process. The fundamental objective of this work is to enrich the precision of decision-making. A novel mixed aggregation operator called Pythagorean fuzzy hypersoft Einstein weighted geometric (PFHSEWG) based on Einstein’s…
More >
-
Open Access
ARTICLE
Two-Sided Stable Matching Decision-Making Method Considering Matching Intention under a Hesitant Fuzzy Environment
Qi Yue, Zhibin Deng
CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.2, pp. 1603-1623, 2023, DOI:10.32604/cmes.2022.022956
（This article belongs to this Special Issue:
Decision making Modeling, Methods and Applications of Advanced Fuzzy Theory in Engineering and Science)
Abstract In this paper, a stable two-sided matching (TSM) method considering the matching intention of agents under a hesitant fuzzy environment is proposed. The method uses a hesitant fuzzy element (HFE) as its basis. First, the HFE preference matrix is transformed into the normalized HFE preference matrix. On this basis, the distance and the projection of the normalized HFEs on positive and negative ideal solutions are calculated. Then, the normalized HFEs are transformed into agent satisfactions. Considering the stable matching constraints, a multiobjective programming model with the objective of maximizing the satisfactions of two-sided agents is constructed. Based on the agent…
More >
-
Open Access
ARTICLE
Novel Distance Measures on Hesitant Fuzzy Sets Based on Equal-Probability Transformation and Their Application in Decision Making on Intersection Traffic Control
Fangwei Zhang, Yi Zhao, Jun Ye, Shuhong Wang, Jingyi Hu
CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.2, pp. 1589-1602, 2023, DOI:10.32604/cmes.2022.022431
（This article belongs to this Special Issue:
Decision making Modeling, Methods and Applications of Advanced Fuzzy Theory in Engineering and Science)
Abstract The purpose of this study is to reduce the uncertainty in the calculation process on hesitant fuzzy sets (HFSs). The innovation of this study is to unify the cardinal numbers of hesitant fuzzy elements (HFEs) in a special way. Firstly, a probability density function is assigned for any given HFE. Thereafter, equal-probability transformation is introduced to transform HFEs with different cardinal numbers on the condition into the same probability density function. The characteristic of this transformation is that the higher the consistency of the membership degrees in HFEs, the higher the credibility of the mentioned membership degrees is, then, the…
More >
-
Open Access
ARTICLE
Aggregation Operators for Interval-Valued Pythagorean Fuzzy Hypersoft Set with Their Application to Solve MCDM Problem
Rana Muhammad Zulqarnain, Imran Siddique, Rifaqat Ali, Fahd Jarad, Aiyared Iampan
CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.1, pp. 619-651, 2023, DOI:10.32604/cmes.2022.022767
（This article belongs to this Special Issue:
Decision making Modeling, Methods and Applications of Advanced Fuzzy Theory in Engineering and Science)
Abstract Experts use Pythagorean fuzzy hypersoft sets (PFHSS) in their investigations to resolve the indeterminate and imprecise information in the decision-making process. Aggregation operators (AOs) perform a leading role in perceptivity among two circulations of prospect and pull out concerns from that perception. In this paper, we extend the concept of PFHSS to interval-valued PFHSS (IVPFHSS), which is the generalized form of interval-valued intuitionistic fuzzy soft set. The IVPFHSS competently deals with uncertain and ambagious information compared to the existing interval-valued Pythagorean fuzzy soft set. It is the most potent method for amplifying fuzzy data in the decision-making (DM) practice. Some…
More >
-
Open Access
ARTICLE
Neutrosophic Adaptive Clustering Optimization in Genetic Algorithm and Its Application in Cubic Assignment Problem
Fangwei Zhang, Shihe Xu, Bing Han, Liming Zhang, Jun Ye
CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.3, pp. 2211-2226, 2023, DOI:10.32604/cmes.2022.022418
（This article belongs to this Special Issue:
Decision making Modeling, Methods and Applications of Advanced Fuzzy Theory in Engineering and Science)
Abstract In optimization theory, the adaptive control of the optimization process is an important goal that people pursue. To solve this problem, this study introduces the idea of neutrosophic decision-making into classical heuristic algorithm, and proposes a novel neutrosophic adaptive clustering optimization thought, which is applied in a novel neutrosophic genetic algorithm (NGA), for example. The main feature of NGA is that the NGA treats the crossover effect as a neutrosophic fuzzy set, the variation ratio as a structural parameter, the crossover effect as a benefit parameter and the variation effect as a cost parameter, and then a neutrosophic fitness function…
More >
Login
Register
Submit a Paper
Propose a Special lssue